The specific object tracking algorithm based on Kalman filter in an environment where similar objects are existing

Jong Min Jeong, Tae Sung Yoon, Jin Bae Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Visual target tracking is one of the important issues in computer vision. Especially, the particular object tracking in an environment of multiple objects has many practical applications such as automated surveillance system and robot vision system. However, it is difficult to track a particular object because many problems are occurred in an environment of multiple objects such as merging and splitting. This paper proposes a particular object tracking algorithm when similar objects are present. This algorithm is based on the Kalman filter. But, standard Kalman filter requires one measurement for state estimation. However, if similar objects exist in the image, we obtain multiple measurements including true measurement and false measurements. So, we define new cost function to distinguish the true measurement from several measurements. Also, if merging and splitting problems are occurred, we deal with these situations by changing cost function. The computer simulation based on Matlab shows that the performance of the proposed algorithm is appropriate for tracking a particular object in an environment that similar objects exist.

Original languageEnglish
Title of host publicationICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems
Pages688-693
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 - Gwangju, Korea, Republic of
Duration: 2013 Oct 202013 Oct 23

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Other

Other2013 13th International Conference on Control, Automation and Systems, ICCAS 2013
CountryKorea, Republic of
CityGwangju
Period13/10/2013/10/23

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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    Jeong, J. M., Yoon, T. S., & Park, J. B. (2013). The specific object tracking algorithm based on Kalman filter in an environment where similar objects are existing. In ICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems (pp. 688-693). [6703957] (International Conference on Control, Automation and Systems). https://doi.org/10.1109/ICCAS.2013.6703957